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Capital Group Presentation

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Title: Capital Group Presentation


1
Financial Analysis of IT Investments Prepared by
John Lafare Vice President Director,
Information Technology Group The Capital Group
Companies
2
About the Capital Group
  • Who we are
  • One of the worlds largest and most respected
  • investment management organizations
  • American Funds and Capital Group International
  • Investment manager of mutual funds, separately
    managed accounts and pooled investment funds
  • 9,000 associates in 19 offices worldwide
  • Privately held organization founded more than 75
    years ago
  • Experienced, long-tenured investment
    professionals
  • Known for exceptional customer service

3
Most Projects Do Not Add Value to the Firm
  • 20 of all IT spending is wasted representing an
    annual destruction of value of several hundred
    billions
  • A 24 budget over-run, coupled with a 16
    shortfall in delivered functionality and a
    two-year delay in implementation, can turn an
    expected return on investment of 14 into a
    negative return of 38.
  • Changing business needs and unmet expectations
    are leading causes of project failure
  • Nicholas Carr of Harvard IT Doesnt Matter
  • Less than 18 of the typical IT budget is
    actually spent on initiatives that bring value to
    the enterprise
  • Only innovative investments seem to increase
    firms value

Keep in mind the economic axiom that excess
profits (the source of value) are zero in a
competitive market, and that for a project to
truly have a positive NPV, it must have some
competitive edge -- be first, be best, be the
only.
4
The Origins of IT Financial Analysis
  • Early 1950s Harry Markowitz formulates the
    groundbreaking theories on modern portfolio
    management
  • Key concept a diversified portfolio of financial
    assets can be optimized to deliver the maximum
    return for a given level of risk
  • 1981 Warren McFarlan argued that the
    fundamentals of portfolio management should be
    applied to corporate technology assets

5
Financial vs. IT Portfolio Management
6
Criticism of Quantitative Analysis
  • Issues with the financial analysis of IT
    investments
  • Most IT departments endorse ROI measures but do
    not apply them broadly or rigorously
  • Failure to quantify project investment value
    leads to skepticism about returns from large and
    growing IT expenditures
  • Some encourage migration away from cost-benefit
    analyses, especially ROI models
  • The more strategic IT becomes, the more soft
    metrics surpass financial measures in utility
  • ROI fails to account for project risk, size,
    complexity or longevity and may be best suited
    for low-risk projects
  • ROI is a poor measure when investment may result
    in a wide array of outcomes or lead to successive
    investment opportunities
  • ROI is a weak valuation metric for long-lived
    investments
  • ROI is inadequate for comparing investment
    opportunities when the amount invested is a
    deciding factor in resource allocation

7
Abandoning Financial Analysis Not The Answer
  • The correct solution is to upgrade the
    cost/benefit toolkit
  • Because IT projects vary as to complexity and
    risk, different metrics suit different
    investments
  • Attribute earnings to intangible benefits to
    reveal true business value

High
High
Real Options
Complexity of Metric
Monte Carlo Simulation
Complexity of Cash Flows
Sensitivity Analysis
NPV/IRR
ROI / Payback Period
Low
Low
Uncertainty of Cash Flows
High
Low
8
Beware The Limitations of Methodologies
  • Models assume we can identify all relevant
    decision-making factors
  • Methodologies limit what kinds of factors they
    can consider
  • Inclusive decisions typically require more than
    as input
  • Not including the right combination of factors
    can limit what is considered in the final
    investment decision
  • The factors may have been measured incorrectly or
    contain bias
  • The time frame of IT investments and the delivery
    of benefits frequently do not keep to a predicted
    time table
  • Financial methodologies tend to exclude most
    considerations of intangible benefits in
    preference to tangibles ones.
  • Investments in IT are subject to higher risks
    than other capital investments

9
Payback Period Calculation
  • How long will it take for the investment to pay
    for itself?
  • Widely used measure in tough economic times
  • It's easy to compute, easy to understand and
    provides some indication of risk by separating
    long-term projects from short-term projects.
  • Emphasis on short term has special appeal as the
    history of IT projects taking longer than three
    years is very mixed

10
How to Use Payback
  • Limitations
  • Payback doesn't measure profitability, ignores
    financial performance after the break-even period
    (1)
  • The simplicity of computing payback may encourage
    sloppiness
  • Recommendations
  • Consider payback period in concert with other,
    more sophisticated measures
  • Good way to quickly size up a portfolio of
    projects and winnow it down to a few that merit
    more careful scrutiny

(1) The Server Consolidation Project has a more
attractive payback but the Back-Office Automation
project is a better long-term investment
11
Net Present Value Calculation
  • Net evaluation of multi-year investments
    expressed in today's dollars
  • Incorporates the time value of money
  • Is simply the sum of all discounted outflows and
    inflows
  • Allows consideration of cost of capital, interest
    rates, and investment opportunity costs
  • Especially appropriate for long-term projects

12
How to Use Net Present Value
  • Limitations
  • Does not compare the absolute levels of
    investment
  • Highly sensitive to the choice of a discount rate
    (see example)
  • Works only where benefits can be associated with
    cash flows
  • Recommendations
  • Use simple measures such as payback period to
    evaluate smaller projects, but look at NPV for
    larger projects
  • Good "no-go indicator," as you'd normally reject
    projects with negative NPV
  • Projects NPV gt 0 can further be measured by other
    yardsticks

13
Internal Rate of Return (IRR) Calculation
  • It is about recovering the cost of investing
  • Interest rate that provides an NPV of 0 for the
    cash flow stream
  • Internal means it is strictly a function of
    project cash flows
  • Used as a hurdle rate projects must exceed to
    receive funding
  • When projects compete, select the one with
    highest IRR
  • Often preferred and used by financial specialists

IRR(NetCashFlows, 0.10)
14
How To Use The Internal Rate of Return
  • Limitations
  • Value and meaning more obscure to many people
  • Does not account for absolute size of the
    investment
  • Errors magnified when comparing projects of
    different durations.
  • Most meaningful when large inflows follow large
    initial outflows
  • Return rates may not be realistic (1)
  • Recommendations
  • Can be used as a go/no-go investment threshold.
  • If IRR is less than hurdle rate, you need a lot
    of soft justifications

(1) In reality, investors would not count the
cost of funds at the IRR rate and the invested
funds would not earn returns at the IRR rate
15
Return on Investment Calculation
  • How do investment returns compare to investment
    costs?
  • Used to evaluate the efficiency of an investment
    or to compare the efficiency of different
    investments
  • Very popular metric due to its versatility and
    simplicity
  • If the investment has a negative ROI or other
    opportunities have a higher ROI, then the
    investment should be not be undertaken

16
Return on Investment Calculation
  • Limitations
  • Some ROI models can become overly complex
  • They are not well suited to the capture of soft
    benefits
  • Assumes that returns are match with costs (not
    easy to prove)
  • Recommendations
  • There is no such thing as a right or optimal
    ROI it all depends on what you include (or
    exclude) in the model (see example)
  • The flexibility of ROI calculations has a
    downside as they can easily be manipulated to
    suit the user's purposes
  • Make sure you understand what inputs are being
    used
  • Consider the following data for a proposed CRM
    project
  • Estimated Project Cost 1,000
  • PV of Expected Benefits 1,100
  • Projected increase in revenue per customer 100
  • Per customer cost of future marketing campaigns
    80
  • Hurdle rate 15
  • Financial ROI 1,100 - 1000 100 / 1000
    invested 10
  • Marketing ROI 100 - 80 20 / 80 25

17
NPV vs. IRR vs. ROI
  • Below is a comparison of 5 financial metrics for
    3 different proposals
  • Each metric identifies a given proposal as best
    depending on the year
  • ROI and IRR agree in some years and disagree in
    others
  • Bottom line strong need for understanding of
    each financial metric

18
Sensitivity and Risk Analysis
  • Sensitivity analysis ask what happens to
    predicted results if assumptions change?
  • Risk analysis is about assessing the likelihood
    of expected outcomes
  • They help identify revenues and costs that have
    the greatest impact on NPV, IRR and other
    financial metrics of a project
  • They provide a way to understand and adjust for
    risk
  • Easier to implement with the advent of
    sophisticated computer models (Monte Carlo
    simulations, etc )

All Assumptions
Important Assumptions
Unimportant Assumptions
Assumptions That Cannot be Managed or Controlled
Assumptions That Can Be Managed or Controlled
19
How To Use Sensitivity and Risk Analysis
  • Limitations
  • Thorough understanding of variables in the model
    required for accurate estimation
  • Single-factor sensitivity analysis when in
    reality assumptions are often correlated
  • For complex scenarios, developing models is
    cumbersome
  • Recommendations
  • Can help provide the means of understanding the
    moving parts of the projects investment
  • Allows the attribution of risk levels and the
    evaluation of the probability of the alternative
    outcomes for a project

20
Real Options
  • Application of financial options theory to the
    identification of options created by technology
    positioning investments
  • A Real Option is the right but not the obligation
    to undertake a financial investment
  • Accounts for the value created by the ability to
    defer, expand, contract, abandon or otherwise
    alter a project
  • Real options are also embedded in the opportunity
    to invest in innovative projects with
    consideration of the strategic value associated
    with the possibility of follow-up investments

Discounted Cash Flow vs. Real Options Approach
21
How To Use Real Options
  • Limitations
  • Real options methods are often complex to model
  • Assumptions of financial models (Black-Scholes,
    binomial option pricing models) place constraints
    on the range of IT investment situations that one
    can evaluate
  • Recommendations
  • Use for appraisal of project value under
    conditions of uncertainty
  • Whenever an IT project has flexibility about
    which applications and functions to implement,
    and when or how to implement them, real options
    are present
  • The growth option is most useful when considering
    infrastructure projects which often carry a
    negative NPV but whose value is the enablement of
    future investments
  • Due to potential complexity, apply a simplified
    version of options pricing (note that it may
    lead to decreased estimation accuracy)

22
Conclusions
  • Projects may have their roots in routine
    operational tasks
  • Many IT projects also assist in providing new
    revenue sources
  • The common goal for all properly identified
    projects is to provide value to the organization
  • Numbers alone do not suffice but a financial
    model lies at the heart of a good business case
  • Financial metrics help verify that the IT
    investment is a good business decision
  • Concepts such as NPV, IRR, or ROI come straight
    from the discipline of finance
  • Each method measures something different and must
    be carefully selected to meet the needs of the
    decision makers
  • When selecting a methodology, you must understand
    its design, bias, and proper areas of application

23
Financial Analysis of IT Investments
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